Thursday, July 15
- 9:10-10:10 a.m.
- Plenary
- Jim Ramsay, McGill University
- 10:30-12:30
- Sessions
- Data Analysis Issues in PLS Regression and Path Modeling
- Org.: Vincenzo Esposito Vinzi, University of Naples
``Federico II''
- Michel Tenenhaus, HEC Business School,
``PLS Path Modeling for Multiple Table Analysis''
- Gilbert Saporta*, CNAM Paris, and Cristian Preda,
Université de Lille,
``Clusterwise PLS Regression with Applications to Functional Data''
- Xinli Bao and Hamparsum Bozdogan*, University of Tennessee at
Knoxville, ``Subsetting Kernel Regression Models Using Genetic
Algorithm and the Information Measure of Complexity''
- Graphics in Statistics
- Org.: Leland Wilkinson, SPSS, Inc.
- Di Cook, Iowa State University, ??
- Leland Wilkinson, SPSS, Inc., ??
- Graham Wills, SPSS, Inc., ``Visualization of Internet Traffic''
- Clustering Methods for Microarray Data
- Org: Hans Bock, University of Aachen
- Guenther Walther*, Robert Tibshirani, David Botstein, and Patrick
Brown, Stanford University, ``Cluster Validation by
Prediction Length''
- Heather Turner, Trevor Bailey, and Wojtek Krzanowski*, University of
Exeter, ``The Plaid Model: Some Enhancements and Extensions''
- Alexander Schliep*, Christine Steinhoff, and Alexander
Schoenhuth, Max Planck Institute, ``Inference of Groups
in Gene Expression''
- 2:00-3:00
- Special Invited Talks
- Pedro Domingos, University of Washington
- Rosanna Verde, University of Naples, ``Clustering Methods in
Symbolic Data Analysis''
- Fionn Murtagh, Queen's University Belfast, ``Thinking
Ultrametrically''
- 3:30-5:00 p.m
- Sessions (Short Session)
- Roundtable for IFCS Education Committee: ``Teaching and Training Classification and Data Analysis in a
Multidisciplinary and Interdisciplinary Context''
- Org.: Helena Bacelar-Nicolau, University of Lisbon
- Henk Kiers, University of Groningen, ``Teaching Data Analysis
to First Years: How to Avoid that They Only Learn the How and
Not the Why''
- Fionn Murtagh, Queen's University Belfast, ``New Research
Results and Best Practice in Classification and Data Analysis in
Established Disciplines: The Case of Astronomy and Astrophysics''
- Gilbert Saporta, CNAM Paris, ``A Brief Report on Teaching
Statistics with the Internet at an Introductory Level''
- Peter Bryant, University of Colorado at Denver, ``How Would
You Go About Teaching Principal Components? Developing a small case''
- Iven Van Mechelen, Catholic University of Leuven, ``Three
Major Obstacles/Challenges for Teaching Classification Models and Methods''
- Invited Overview Talk
- Adele Cutler, University of Utah, ``Introduction to Random Forests''
- Invited Overview Talk
- Edwin Diday, University of
Paris-Dauphine,''Spatial Pyramidal Clustering Based on Tesselation''
Friday, July 16
- 9:00-10:00 a.m.
- Plenary
- Gilles Celeux, INRIA, ``Choosing a Model for Purposes of
Classification''
- 10:30-12:30
- Sessions
- Transversal Meeting on Symbolic Data Analysis
- Org.: Yves Lechevallier, INRIA-Rocquencourt
- Edwin Diday, University of Paris-Dauphine,
``Introduction to Symbolic Data Analysis''
- Monique Noirhomme-Fraiture, University of Namur,
``The ASSO Project''
- Rosanna Verde, University of Naples,
``Journal of Symbolic Data Analysis''
- Classification and Clustering in Astronomy
- Org.: Bill Shannon, Washington University at St. Louis
- Vicki Laidler, Computer Sciences Corporation, Space
Telescope Science Institute,
``A Tale of Two
Probabilities: Assessing Accuracy on Classified Astronomical Data''
- Kiri Wagstaff, Jet Propulsion Laboratory,
``Clustering with Missing Values: No Imputation Required''
- Markus Demleitner*, University of Heidelberg,
Michael Kurtz, Harvard University, et al. ``Automated Resolution of Noisy
Bibliographic References''
- Disc.: Fionn Murtagh, Queen's University Belfast
- Market Research, Data Mining, and Web Mining Interface
- Org: Wolfgang Gaul, University of Karlsruhe
- Daniel Baier, University of Cottbus
``Pharmaceutical eDetailing and Market Sementation in the Age of the
Internet''
- Reinhold Decker, University of Bielefeld
``Self-Controlled Growing Neural Networks and Their Application to Pattern
Representation in Data Analysis''
- Born, Stefan, Liebig University,
and Lars Schmidt-Thieme*, University of Freiburg
``Optimal Discretization of Quantitative Attributes for Association Rules''
- 2:00-3:00
- Special Invited Talks
- Vladimir Vapnik, AT&T
- Lynne Billard, University of Georgia, ``Symbolic Data Analysis:
An Overview of Principles and Some Descriptive Statistics''
- Bruno Leclerc, EHESS, ``Consensus of Classification Systems, with
Adams' Results Revisited''
- 3:30-5:30 p.m
- Sessions
- Data Mining I
- Org.: David Banks, Duke University
- Ernest Fokoue, Ohio State University, ??
- Kath Bogie, Jiayang Sun*, and Xiaofeng Wang,
Case Western University, ``Mining Huge-p-Small-n Data and
New Image Registration Procedures''
- Balaji Krishnapuram, Duke University,
``New Computer Science Approaches in Classification''
- Multiway Data Analysis
- Org.: Henk Kiers, University of Groningen
- Iven van Mechelen, Catholic University of Leuven, ``Three-Way
Classification Models: An Overview''
- Age Smilde, University of Amsterdam and TNO Nutrition and Food
Research``Multiset Methods for Longitudinal Metabolomics Data''
- Maurizio Vichi* and Roberto Rocci, University ``La
Sapienza'' and University ``Tor Vergata'' of Rome, ``Multimode Clustering''
- Statistical Methods in Immunology
- Org: Greg Constantine, University of Pittsburgh
- Alan Lapedes, Los Alamos National Laboratory,
``Multidimensional Scaling in Immunology''
- Gilles Clermont*, Carson Chow, Greg Constantine, et al.,
University of Pittsburgh, ``Mathematical Modeling of Acute Inflammation''
- Gregory Constantine, University of Pittsburgh,
``A Multidimensional Parameter Estimation Algorithm Based on
Optimal Linear Codes''
Saturday, July 17
- 9:00-10:00 a.m.
- Plenary
- Mike Steel, University of Canterbury, New Zealand
- 10:30-12:30
- Sessions
- Information Retrieval I.
- Org.: Nazli Goharian,
Illinois Institute of Technology
- Emilo Di Meglio and Simona Balbi*, University of Naples,
``Contributions of Textual Data Analysis to Text Retrieval''
- Wenshang Wu, University of Illinois at Urbana-Champaign,
Clement Yu*, University of Illinois at Chicago, and Weiyi Meng, State
University of New York at Binghamton,
``Database Selection for Longer Queries''
- Ahu Sieg, Bamshad Mobasher*, and Robin Burke, DePaul
University,
``Inferring User's Information Context from User Profiles and Concept
Hierarchies''
- Functional Magnetic Resonance Imaging
- Org.: Mark Vangel, Massachusetts General Hospital and Harvard University
- Nicole Lazar, Carnegie Mellon University,
``Are All fMRI Subjects Created Equal?''
- Tom Nichols, University of Michigan, ``Detecting a Conjunction of Alternatives:
Finding Consistent Activations in Functional Neuroimaging Data using FDR''
- Mark Vangel, Massachusetts General Hospital and Harvard University,
``Combining Functional MRI Data on Multiple Subjects''
- Statistical Issues in Counterterrorism
- Org.: David Banks, Duke University
- David Marchette, Naval Surface Warfare Center,
``Iterative Denoising for Cross-Corpus Discovery''
- Karen Kafadar*, University of Colorado at Denver, and Cliff
Speigelman, Texas A&M University,
``Forensic Analyis of Bullet Data''
- Mike Larsen, Iowa State University,
``Issues in Record Linkage''
- 2:00-3:00
- Special Invited Talks
- Carey Priebe, Johns Hopkins University, ``A Hierarchical Methodology
for Classification Problems with Skewed Priors''
- Taerim Lee, Korea National Open University,
``A Tree-Structured Survival Model for AIDS in Korea''
- Regina Liu, Rutgers University, ``Mining Massive Text Data and
Developing Tracking Statistics''
- 3:30-5:30 p.m
- Sessions
- Information Retrieval II.
- Org.: Nazli Goharian, Illinois Institute of Technology
- Maojin Jiang, Eric Jensen, Steve Beitzel*, and Shlomo Argamon,
Illinois Institute of Technology, ``Choosing the Right Bigrams for
Information Retrieval''
- Tao Tao* and ChengXiang Zhai, University of Illinois at
Urbana-Champaign, ``A Mixture Clustering Model for Pseudo Feedback in
Information Retrieval''
- E. Graubins* and David Grossman, Illinois Institute of
Technology,
``Applying Hybrid Modeling to Predict the Stock Market''
- Dimension Reduction
- Jeff Solka, Naval Surface Warfare Center, ``Modern Geometric
Methods for Dimensionality Reduction''
- Xiaodong Lin*, Statistics and Applied Mathematics Institute, and Yu
Zhu, Purdue University,
``Degenerate Expectation-Maximization Algorithm for Local Dimension
Reduction''
- Ulas Akkucuk* and Doug Carroll, Rutgers University,
``Mapping of Nonlinear Manifolds: A Study of ISOMAP and a Version of
PARAMAP''
- Issues in Statistical Metrology
- Tony Kearsley, National Institute of Standards and Technology,
``Optimization Algorithms in Multidimensional Scaling''
- Luis Melara, National Institute of Standards and Technology,
``Homotopy Methods in Multidimensional Scaling''
- Kevin Coakley, National Institute of Standards and Technology,
``A Classification Problem in Neutrino Physics''
Sunday, July 18
- 9:00-10:00 a.m.
- Plenary
- David Hand, Imperial College, ``Academic Obsessions and
Classification Realities: Ignoring Practicalities in Supervised
Classification''
- 10:30-12:30
- Sessions
- Data Mining II
- Org.: Xiaodong Lin, Statistics and Applied Mathematical
Science Institute
- Marianthi Markatou, H. Tian, S. Biswas, and G. Hripsack,
Columbia University, ``Analysis of the Effect
of Correlation on Cross-Validation Estimates of Performance of
Learning Algorithms''
- Leanna House* and David Banks, Duke University,
``Cherry-Picking as a Robustness Tool''
- Helen Zhang, North Carolina State University, ``Unified Multiclass
Proximal Support Vector Machines''
- Data Analysis in Financial Risk Management
- Org.: Krzysztof Jajuga, Wroclaw University of Economics
- Krzysztof Jajuga, ``Data Analysis and Financial Risk
Management: Overview of Modern Approaches''
- Michael Ong, Illinois Institute of Technology, ``The Use and
Ab-Use of Financial Data''
- Hermann Locarek-Junge, Dresden University of Technology,
``Estimation of Tail Coefficients
and Extreme Correlations for Market and Credit Risk: Problems,
Pitfalls, and Possible Solutions''
- 2:00-4:00 p.m
- Sessions
- Data Mining III
- Org.: Ernest Fokoue, Ohio State University
- Stan Young, National Institute of Statistical Sciences, ``Using
Metabolomic Data to Predict ALS Status''
- Herbie Lee, Univesity of California at Santa Cruz,
``Priors for Neural Networks''
- Jacqueline Hughes-Oliver, North Carolina State University, ``Twins and
High Dimensional Data: Can Leave-one-out Cross Validation Survive?''
- Memorial Session for Chikio Hayashi
- Org.: Noboru Ohsumi, Institute of Statistical Mathematics
- Noboru Ohsumi, Institute of Statistical Mathematics,
``Memories of Chikio Hayashi and His Great Achievement''
- Ludovic Lebart, ENST,
``Validation Technique in Correspondence Analysis''
- Hans-Hermann Bock,
``Classification in the Life Span of Chikio Hayashi''
- Baba and Ohsumi, ??,
``Chikio Hayashi and Data Science in Japan''
- Discs.: Carlo Lauro, University of Naples, and
Maurice Roux, ??
- 4:30-5:30
- Special Invited Talks
- Masahiro Mizuta, Hokkaido University, ``Relative Projection
Pursuit and Its Applications''
- Wolfgang Gaul, University of Karlsruhe
- Anuska Ferligoj, University of Ljubljana